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Image_captioning

Repository for image captioning using CNN and LSTM

Dataset

Used Flikr8k dataset wich consistes of 5 captions for each image in it.(and containes aroung 8k images like that)

Eval metric

Used BLEU between the predicted caption and original captions and can take average of them.

Method

  1. Used pretrained Resnet for CNN encoder.(with grad=False) except for the last layer which I added.
  2. Then, this embedding will be used as hidden vector for LSTM and seq2seq training will happen.(where the truth is the right shifted ones of the original caption.)

Results

For results , once can see at the bottom of the ipynb notebook.

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Repo for image captioning using CNN and LSTM

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